ST
Srilekha T
Contact details — on requestProof of Work — on request
Experience
B
Data Engineer
Bitwise Global Solutions · Nov 2022 – Present
- Developed and maintained Azure Data Factory (ADF) pipelines for post-migration data integration and reporting workloads.
- Worked with Medallion Architecture (Bronze, Silver and Gold layers) to organize curated data for downstream reporting.
- Used PySpark to read Delta and Parquet datasets for data validation, reconciliation and quality verification.
- Developed SQL Views, Stored Procedures and Azure Synapse SQL objects to support enterprise reporting and analytics requirements.
- Designed and maintained Fact and Dimension tables for enterprise reporting.
- Developed interactive Power BI dashboards, paginated reports and DAX measures based on business requirements.
- Performed source-to-target validation, reconciliation and business rule validation to ensure data accuracy before UAT and Production releases.
- Managed work items using Azure DevOps and collaborated in CI/CD deployment activities during release cycles.
- Supported SIT, UAT and Production issues by resolving incidents through Jira and ServiceNow while ensuring SLA compliance.
- Collaborated with business stakeholders to demonstrate sprint deliverables, validate reports and support production releases.
- Monitored scheduled pipeline executions, investigated pipeline failures and resolved production issues within SLA timelines.
- Contributed to the migration of enterprise data from on-premises SQL Server to the Azure cloud using Azure Data Factory (ADF) and Azure Databricks.
- Designed and developed Azure Data Factory pipelines using Linked Services, Datasets and parameterized pipeline activities.
- Built ETL workflows using Copy Activity, Lookup, Get Metadata, If Condition, Filter, Set Variable and ForEach activities.
- Ingested enterprise data from SQL Server into Azure Data Lake Storage Gen2 (ADLS Gen2) and Azure SQL Database for downstream processing.
- Worked with Azure Databricks notebooks to execute data transformation workflows and support cloud migration activities.
- Worked with Medallion Architecture (Bronze, Silver and Gold layers) to organize enterprise data across raw, curated and business-ready layers.
- Performed source-to-target validation, reconciliation and data quality checks after migration.
- Used PySpark to read Delta, Parquet and CSV datasets for data validation, reconciliation and migration verification.
- Applied basic Python scripts for data validation and troubleshooting activities.
- Worked with Delta Lake concepts to support incremental data loading and optimize data storage for analytics.
- Managed work items using Azure DevOps and collaborated in CI/CD deployment activities during release cycles.
- Collaborated with QA and business users during SIT, UAT and Production release activities.
- Monitored pipeline executions, investigated migration issues and resolved production incidents through Jira and ServiceNow within SLA timelines.
Software Associate
Accenture · Oct 2020 – Oct 2022
- Developed parameterized Azure Data Factory pipelines to automate ingestion of SAP and SQL Server data into Azure Data Lake Storage Gen2.
- Created Linked Services, reusable Datasets and parameterized configurations to support dynamic data ingestion.
- Implemented metadata-driven ETL workflows using Copy Activity, Lookup, Get Metadata, Filter, If Condition, Set Variable and ForEach activities.
- Designed and loaded Dimension and Fact tables into the enterprise Data Warehouse based on business requirements.
- Developed SQL Views, Stored Procedures and Synapse SQL objects to support enterprise reporting and downstream analytics.
- Developed paginated reports using Power BI Report Builder to support enterprise reporting requirements across multiple business departments.
- Managed sprint tasks, user stories and work items using Azure DevOps Boards while working in an Agile Scrum environment.
- Participated in Sprint demonstrations and collaborated with business users to validate deliverables during UAT.
- Performed source-to-target validation, data reconciliation and supported production releases to ensure data accuracy and consistency.
- Investigated production issues, resolved defects and supported timely releases within Agile Sprint cycles.
- Developed Azure Data Factory (ADF) pipelines using Linked Services, Datasets and pipeline activities for data integration workflows.
- Designed ETL pipelines to ingest data from SQL Server into Azure Data Lake Storage Gen2 (ADLS Gen2).
- Configured Azure services including Azure Blob Storage, Azure SQL Database and Azure Data Factory resources.
- Configured Tumbling Window Triggers in Azure Data Factory to automate batch data processing.
- Implemented Copy Activity, Lookup, Get Metadata, If Condition, Set Variable, Filter and ForEach activities.
- Loaded data into staging tables and integrated the data into Dedicated SQL Pool Data Warehouse tables for reporting and analytics.
- Developed SQL Views and Stored Procedures to support ETL processes and enterprise reporting requirements.
- Performed source-to-target validation, reconciliation and data quality checks.
- Collaborated with QA teams during SIT and UAT to validate data quality and business requirements.
- Participated in Agile Scrum ceremonies including Sprint Planning, Daily Stand-ups, Sprint Reviews and Retrospectives.
- Managed user stories, development tasks and work items using Azure DevOps.
Skills 0 proven through work
Also works with
Watermark Column ImplementationData Pipeline Reusability DesignData Copy Activity ImplementationDataset Management for ETLLinked Services ConfigurationMeridian Architecture DesignMentoring and Peer CoachingAdaptabilityTime ManagementBusiness IntelligenceDashboard UI DesignDAX Expression DevelopmentMicrosoft ExcelData VisualizationRequirements AnalysisCross-Departmental CoordinationJupyter NotebookSelf-Directed LearningGenerative AI ApplicationMicrosoft Fabric UsageTechnical TroubleshootingPower BISQL ProgrammingStructured LoggingMetadata ManagementIncremental Data ProcessingADLS Gen2 UsageSSMS UsageData CollectionData Pipeline ParameterizationTeamworkData Discrepancy InvestigationCompliance ManagementData CurationChange DetectionTabular Data Cleaning & ValidationData Integrity ManagementTransaction ReconciliationPySparkApplication MonitoringData ValidationData TransformationData HandlingAzure Synapse Analytics UsageDatabricks UsageData MigrationData Mart DevelopmentETL Pipeline DevelopmentAzure Data Factory Pipeline DevelopmentData Engineering
Proof of Work
Proof of Work
Srilekha shares this with people who ask. You'll hear back either way.
Education
Bachelor of Business Administration (BBA), Business Administration
Osmania University · 2017 — 2020
Contact details
Contact details
Srilekha shares this with people who ask. You'll hear back either way.
What drives their work
The Builder
They construct reliable data foundations and ensure their integrity.
Srilekha's superpower
You excel at transforming complex, raw data into structured, reliable information systems.
How Srilekha works
You are well-suited for roles focused on building and optimizing data infrastructure within cloud environments, particularly those involving Azure technologies.
Ask about this candidate
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